Overview
Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal.\xa0 These measurements are usually much smaller than the number of samples that define the signal.\xa0 From these small numbers of measurements, the signal is then reconstructed by non-linear procedure.\xa0 Compressed sensing has recently emerged as a powerful tool for efficiently processing data in non-traditional ways.\xa0 In this book, we highlight some of the key mathematical insights underlying sparse representation and compressed sensing and illustrate the role of these theories in classical vision, imaging and biometrics problems.
